Real Estate Master
v1.0.1Manage off-plan real estate investments with payment tracking, group buy equity, cash buffer simulation, investor sharing links, and ROI scenario modeling.
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by@binkl69
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name, description, and included files (two Python scripts, config sample, references) align with a simulation/equity calculator for group buys; declared runtime requirement (python3) is appropriate and proportional.
Instruction Scope
SKILL.md instructs running the included scripts against a local JSON config and documents simulation and sharing workflows. It mentions 'dash/<token>' routes as a developer note but explicitly states the skill does not run a web server; there is no instruction to read unrelated system files, environment variables, or to transmit data to external endpoints. Note: wording around generating 'unique sharing links' is informative only — no link‑generation or network code is provided.
Install Mechanism
No install spec; scripts are bundled with the skill and executed locally with python3. No downloads or archive extraction from external URLs are required.
Credentials
The skill requests no environment variables or credentials. The scripts operate on a user-provided JSON config and do not access secrets, system config paths, or networked services.
Persistence & Privilege
Skill is user‑invocable, not always‑on, and does not modify other skills or request persistent platform privileges. Autonomous invocation is permitted by platform default but not combined with other risky properties.
Assessment
This skill appears to be what it says: a local equity and funding simulator. Before using, review any config JSON you feed it to ensure it contains no sensitive credentials or personal data you don't want processed. If you plan to publish per‑investor views or implement sharing links, note the skill contains no server or token management — you'll need to build a secure delivery mechanism (HTTPS endpoints, access controls). Run the scripts in a controlled environment with a known Python interpreter, and validate outputs against a small test dataset to ensure formulas meet your legal/financial requirements (especially because 'inv1' is treated as the admin/cash pool contributor in the current logic). If you need networked reporting, audit and add secure transport and auth rather than exposing raw config files.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.